Distributed Intelligent Sensing and Communications for 6G: Architecture and Use Cases
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arXiv
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| Autori principali: | , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866910913112571904 |
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| author | Stylianopoulos, Kyriakos Madhusudan, Giyyarpuram Jornod, Guillaume Mekki, Sami Costanzo, Francesca Chen, Hui Mursia, Placido Crozzoli, Maurizio Strinati, Emilio Calvanese Alexandropoulos, George C. Wymeersch, Henk |
| author_facet | Stylianopoulos, Kyriakos Madhusudan, Giyyarpuram Jornod, Guillaume Mekki, Sami Costanzo, Francesca Chen, Hui Mursia, Placido Crozzoli, Maurizio Strinati, Emilio Calvanese Alexandropoulos, George C. Wymeersch, Henk |
| contents | The Distributed Intelligent Sensing and Communication (DISAC) framework redefines Integrated Sensing and Communication (ISAC) for 6G by leveraging distributed architectures to enhance scalability, adaptability, and resource efficiency. This paper presents key architectural enablers, including advanced data representation, seamless target handover, support for heterogeneous devices, and semantic integration. Two use cases illustrate the transformative potential of DISAC: smart factory shop floors and Vulnerable Road User (VRU) protection at smart intersections. These scenarios demonstrate significant improvements in precision, safety, and operational efficiency compared to traditional ISAC systems. The preliminary DISAC architecture incorporates intelligent data processing, distributed coordination, and emerging technologies such as Reconfigurable Intelligent Surfaces (RIS) to meet 6G's stringent requirements. By addressing critical challenges in sensing accuracy, latency, and real-time decision-making, DISAC positions itself as a cornerstone for next-generation wireless networks, advancing innovation in dynamic and complex environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_12765 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Distributed Intelligent Sensing and Communications for 6G: Architecture and Use Cases Stylianopoulos, Kyriakos Madhusudan, Giyyarpuram Jornod, Guillaume Mekki, Sami Costanzo, Francesca Chen, Hui Mursia, Placido Crozzoli, Maurizio Strinati, Emilio Calvanese Alexandropoulos, George C. Wymeersch, Henk Signal Processing The Distributed Intelligent Sensing and Communication (DISAC) framework redefines Integrated Sensing and Communication (ISAC) for 6G by leveraging distributed architectures to enhance scalability, adaptability, and resource efficiency. This paper presents key architectural enablers, including advanced data representation, seamless target handover, support for heterogeneous devices, and semantic integration. Two use cases illustrate the transformative potential of DISAC: smart factory shop floors and Vulnerable Road User (VRU) protection at smart intersections. These scenarios demonstrate significant improvements in precision, safety, and operational efficiency compared to traditional ISAC systems. The preliminary DISAC architecture incorporates intelligent data processing, distributed coordination, and emerging technologies such as Reconfigurable Intelligent Surfaces (RIS) to meet 6G's stringent requirements. By addressing critical challenges in sensing accuracy, latency, and real-time decision-making, DISAC positions itself as a cornerstone for next-generation wireless networks, advancing innovation in dynamic and complex environments. |
| title | Distributed Intelligent Sensing and Communications for 6G: Architecture and Use Cases |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2504.12765 |